

Subbarao Kambhampati, ASU - Arizona State University


Stefanie Jegelka, an associate professor in the department of EECS at MIT talks on the topic: Machine Learning for Discrete Optimization: Graph Neural Networks, Generalization Under Shifts, and Loss Functions


Andres Ferragut, a professor of networks at Universidad ORT Uruguay, talks on the topic: Load Balancing for Spatially Distributed Demands With Applications to Electrical Vehicle Charging


Gautam Kamath, an assistant professor at the David R. Cheriton School of Computer Science at the University of Waterloo talks on the topic: Efficient Private Mean Estimation


Fatma Kilinç-Karzan, an associate professor of operations research in the Tepper School of Business at Carnegie Mellon University talks on the topic: Accelerated First-order Methods for a Class of Semidefinite Programs


Anirbit Mukherjee, an assistant professor at the University of Manchester, to talk on the topic: Provable Training of Neural Nets With One Layer of Activation


Weijun Xie, an ISyE assistant professor to talk on the topic: On Dantzig-Wolfe Relaxation of Rank Constrained Optimization: Exactness, Rank Bounds, and Algorithms


AI4OPT is hosting a multi-part tutorial the week of November 14, 2022. The tutorial consists of four white-board talks.


Yinyu Ye, a Stanford University professor to talk on the topic: Recent Developments on Optimization Algorithms for Convex and Nonconvex Optimization


Soroosh Shafieezadeh Abadeh, a postdoctoral researcher at Tepper School of Business at Carnegie Mellon University will present on the topic: Semi-discrete Optimal Transport: Hardness, Regularization and Numerical Solution


Dylan Foster, a senior researcher at Microsoft Research New England to talk on the topic: The Statistical Complexity of Interactive Decision-Making


Karthyek Murthy, an Assistant Professor in Singapore University of Technology & Design to talk on the topic: Optimizing Tail Risks With Limited Samples: Can Algorithms Engineer Effective Reductions in Variance & Model-bias?


Spyros Chatzivasileiadis, Associate Professor and Head of Section for Power Systems (PWR) at the Division for Power and Energy Systems, at the Department of Wind & Energy will give talk on topic: Machine Learning for Power Systems: Is It Time To Trust It?


Chi Jin, an assistant professor at the Electrical and Computer Engineering department of Princeton University will speak on the topic: When Is Partially Observable Reinforcement Learning Not Scary?


Satyen Kale, a research scientist at Google Research will speak on the topic: Optimization Algorithms for Heterogeneous Clients in Federated Learning


AI4OPT Seminar Series: Hamsa Bastani will speak on Near-Optimal Decision-Aware Learning for Global Health Supply Chains
